Academic literature on the topic 'Dynamic change models'
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Journal articles on the topic "Dynamic change models"
Kramer, Walter, Werner Ploberger, and Raimund Alt. "Testing for Structural Change in Dynamic Models." Econometrica 56, no. 6 (November 1988): 1355. http://dx.doi.org/10.2307/1913102.
Full textKim, Yongku, and L. Mark Berliner. "Change of spatiotemporal scale in dynamic models." Computational Statistics & Data Analysis 101 (September 2016): 80–92. http://dx.doi.org/10.1016/j.csda.2016.02.013.
Full textZeileis, Achim, Friedrich Leisch, Christian Kleiber, and Kurt Hornik. "Monitoring structural change in dynamic econometric models." Journal of Applied Econometrics 20, no. 1 (January 2005): 99–121. http://dx.doi.org/10.1002/jae.776.
Full textMedina, Esperanza G. Valdés y., and Leilani Medina Valdés. "Dynamic Models as Change Enablers in Educational Mathematics." Procedia - Social and Behavioral Sciences 176 (February 2015): 923–26. http://dx.doi.org/10.1016/j.sbspro.2015.01.559.
Full textFalkenström, Fredrik, Steven Finkel, Rolf Sandell, Julian A. Rubel, and Rolf Holmqvist. "Dynamic models of individual change in psychotherapy process research." Journal of Consulting and Clinical Psychology 85, no. 6 (2017): 537–49. http://dx.doi.org/10.1037/ccp0000203.
Full textHan, Xu, and Atsushi Inoue. "TESTS FOR PARAMETER INSTABILITY IN DYNAMIC FACTOR MODELS." Econometric Theory 31, no. 5 (September 15, 2014): 1117–52. http://dx.doi.org/10.1017/s0266466614000486.
Full textKeith, David A., H. Resit Akçakaya, Wilfried Thuiller, Guy F. Midgley, Richard G. Pearson, Steven J. Phillips, Helen M. Regan, Miguel B. Araújo, and Tony G. Rebelo. "Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models." Biology Letters 4, no. 5 (July 29, 2008): 560–63. http://dx.doi.org/10.1098/rsbl.2008.0049.
Full textReuning, Kevin, Michael R. Kenwick, and Christopher J. Fariss. "Exploring the Dynamics of Latent Variable Models." Political Analysis 27, no. 4 (April 11, 2019): 503–17. http://dx.doi.org/10.1017/pan.2019.1.
Full textde la Pena, Victor, and Ricardo Rivera. "Dynamic backtesting of value-at-risk models under regime change." Journal of Risk Model Validation 1, no. 4 (March 2008): 95–110. http://dx.doi.org/10.21314/jrmv.2008.013.
Full textHilgert, Nadine, Ghislain Verdier, and Jean-Pierre Vila. "Change detection for uncertain autoregressive dynamic models through nonparametric estimation." Statistical Methodology 33 (December 2016): 96–113. http://dx.doi.org/10.1016/j.stamet.2016.08.003.
Full textDissertations / Theses on the topic "Dynamic change models"
Moreira, Evaldinólia Gilbertoni. "Dynamic coupling of multiscale land change models." Instituto Nacional de Pesquisas Espaciais, 2009. http://urlib.net/sid.inpe.br/mtc-m18@80/2008/11.10.16.23.
Full textLand changes are the result of a complex web of interactions between human and biophysical factors, which act over a wide range of temporal and spatial scales. Understanding processes of change from local to global scale and their impacts on the coupled human-environmental system is a main scientific challenge. No single model or scale can fully capture such interactions and processes of land change. This thesis presents a methodology for building multiscale, multi-locality land change models that include top-down and bottom-up relations. At first, we conceptualize two types of spatial relations among geographic objects at different scales. To handle the interaction of nested spatial objects at different scales, we propose hierarchical relations. To handle the interaction between networks and spatial objects, we propose action-at-a-distance relations. Then in a second step, we propose a modular software organization to build multiscale land change models. We consider the case when single-scale models, using different modeling approaches, are independently built and then dynamically coupled. We introduce the concepts of Model Couplers to define the bi-directional flow of information between the scales. We implement these concepts using the TerraME modeling environment. As a proof of concept, we present a hierarchical two-scale example for the Brazilian Amazon. The conclusion of this work points out that combining hierarchical and network-based spatial relations provides a comprehensive conceptual framework to include top-down and bottom-up interactions and feedbacks in multi-scale land-change models. The modular software organization and concept of Model Couplers are general enough to be used for other types of applications, and to contribute to the creation of Integrated Environmental Models from local to global scales.
Zeileis, Achim, Friedrich Leisch, Christian Kleiber, and Kurt Hornik. "Monitoring structural change in dynamic econometric models." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2002. http://epub.wu.ac.at/1296/1/document.pdf.
Full textSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Barth, Volker. "Integrated assessment of climate change using structural dynamic models." Hamburg : Max-Planck-Inst. für Meteorologie, 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968535933.
Full textWu, Ning. "Artificial intelligence solutions for models of dynamic land use change." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610781.
Full textWiener, Karl Kilian Konrad, and n/a. "DYNAMIC CHANGE PROCESS: HOW DO COGNITIVE READINESS DRIVERS INFORM CHANGE AGENTS ON EMPLOYEE BEHAVIOURAL CHANGE INTENTION." University of Canberra. n/a, 2008. http://erl.canberra.edu.au./public/adt-AUC20081217.120215.
Full textZurell, Damaris. "Integrating dynamic and statistical modelling approaches in order to improve predictions for scenarios of environmental change." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2011/5684/.
Full textDas Vorkommen von Arten wird zunehmend bedroht durch Klima- und Landnutzungswandel. Robuste Vorhersagen der damit verbundenen Arealveränderungen sind ausschlaggebend für die Erarbeitung dynamischer und nachhaltiger Naturschutzstrategien. Habitateignungsmodelle erstellen statistische Zusammenhänge zwischen dem Vorkommen einer Art und relevanten Umweltvariablen und erlauben zügige Einschätzungen potentieller Arealveränderungen. Dabei werden jedoch transiente Dynamiken weitgehend ignoriert sowie demographische Prozesse und biotische Interaktionen. Daher wurden Vorschläge laut, diese statistischen Modelle mit mechanistischeren Ansätzen zu koppeln. In der vorliegenden Arbeit zeige ich zwei verschiedene Möglichkeiten solcher Kopplung auf. (i) Ich beschreibe den sogenannten ‚Virtuellen Ökologen’-Ansatz als mächtiges Validierungswerkzeug, in dem mechanistische Modelle virtuelle Testflächen bieten zur Erforschung verschiedener Probenahmedesigns oder statistischer Methoden sowie spezifischer Fragestellungen. Auch verwende ich diesen Ansatz, um systematisch zu untersuchen wie sich transiente Dynamiken sowie Arteigenschaften und ökologische Prozesse auf die Vorhersagegüte von Habitateignungsmodellen auswirken. So kann ich entscheidende Prozesse identifizieren welche in zukünftigen Modellen Berücksichtigung finden sollten. (ii) Darauf aufbauend koppele ich Vorhersagen von Habitateignungsmodellen mit einem individuen-basierten Populationsmodell, um die Entwicklung des Schweizer Birkhuhnbestandes unter Klimawandel vorherzusagen. Durch die explizite Berücksichtigung der Wechselwirkungen zwischen Habitat und demographischer Prozesse lassen sich direktere Aussagen über Populationsentwicklung und damit verbundener Extinktionsrisiken treffen. Allerdings führen verschiedene Simulationen auch zu hoher Variabilität zwischen Vorhersagen, was die Bedeutung von Sensitivitätsanalysen unterstreicht, um Unsicherheiten und Robustheit von Vorhersagen einzuschätzen. Außerdem identifiziere ich Restriktionen in der Datenabdeckung des Umweltraumes als möglichen Grund für kontrastierende Vorhersagen verschiedener Habitateignungsmodelle. Wenn die Nische einer Art nicht vollständig durch Daten beschrieben ist, kann dies zu unrealistischen Vorhersagen der Art-Habitat-Beziehung führen. Insgesamt trägt meine Arbeit erheblich bei zu einem besseren Verständnis der Auswirkung verschiedenster Unsicherheitsfaktoren auf Vorhersagen von Arealveränderungen und zeigt Wege auf, mit diesen umzugehen. Abschließend erstelle ich einen vorläufigen Leitfaden für Vorhersagemodelle und identifiziere Kernpunkte für weitere Forschung auf diesem Gebiet.
Barth, Volker [Verfasser]. "Integrated assessment of climate change using structural dynamic models / Max-Planck-Institut für Meteorologie. Von Volker Barth." Hamburg : Max-Planck-Inst. für Meteorologie, 2003. http://d-nb.info/968535933/34.
Full textDavis, Michael C. "Dynamic models of price changes /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2001. http://wwwlib.umi.com/cr/ucsd/fullcit?p3026374.
Full textKasun, Matthew R. (Matthew Roger) Carleton University Dissertation Engineering Systems and computer. "A meta-model for dynamic change management." Ottawa, 1993.
Find full textJuntunen, M. (Marko). "Business model change as a dynamic capability." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526216621.
Full textTiivistelmä Tässä tutkimuksessa tarkastellaan nuoreen Internet liiketoimintaan pohjautuvaan kasvuyritykseen ja kypsiin Internet liiketoimintaan pohjautuviin yrityksiin tehtyjä liiketoimintamallimuutoksia dynaamisten kyvykkyyksien näkökulmasta. Tutkimuksen aihetta lähestytään nuoren kasvuyrityksen sekä kypsien yritysten kannalta ja työn teoreettinen viitekehys rakennetaan liiketoimintamallin, liiketoimintamallimuutoksen sekä dynaamisen kyvykkyyden tutkimusjulkaisujen kautta. Työssä liiketoimintamallimuutos määritellään dynaamiseksi kyvykkyydeksi joka kehittyy eri toimintojen avulla. Tämä dynaaminen kyvykkyys voi mahdollistaa nopeamman liiketoimintamuutoksen ja pitkällä aikavälillä se voi vaikuttaa myös kilpailuedun saavuttamiseen. Työn empiirisessä osassa liiketoimintamallimuutosta tutkitaan tapaustutkimusmenetelmällä neljässä yrityksessä. Yrittäjien, liiketoimintakehittäjien, sekä johtajien käyttäytymistä ja toimenpiteitä tutkitaan liiketoimintamallikonseptin kautta muutostilanteessa. Yrittäjien, liiketoimintakehittäjien, sekä johtajien käyttäytymistä ja toimenpiteitä tutkitaan liiketoimintamallikonseptin kautta muutostilanteessa. Työssä dynaamista liiketoimintamallimuutosta lähestytään kolmen dynaamiselle kyvykkyydelle määritellyn klusterin kautta (havaitseminen, tarttuminen, sekä uhkien hallinta ja muuntautuminen). Nämä klusterit toimivat erityisesti silloin kun yritysten tulee tehdä nopeita liiketoimintapäätöksiä ja liiketoimintamuutoksia. Analyysissa tunnistetaan liiketoimintamallin muutosprosessi, sekä sisäiset ja ulkoiset tekijät joilla on vaikutusta liiketoimintamallimuutokseen. Lopputulokset ovat seuraus kolmesta dynaamisen ominaisuuden klusterista joita organisaatioiden tulisi huomioida nopeasti muuttuvassa ympäristössä. Tutkimuksessa kehitetään jälkikäteismalli jossa liiketoimintamallimuutos dynaamisena kyvykkyytenä synnytetään dynaamisen kyvykkyyden klustereissa esiintyvien toimenpiteiden kautta. Näiden toimenpiteiden avulla on mahdollista saavuttaa pitkällä aikavälillä menestystä ja mahdollisesti myös kilpailuetua. Jälkikäteismalli tukee dynaamista liiketoimintamallimuutosta nopeasti muuttuvassa liiketoimintaympäristössä. Työn teoreettinen kontribuutio on erityisesti dynaamisen kyvykkyyden näkökulma liiketoimintamallintamiseen ja liiketoimintamallimuutokseen. Työssä osoitetaan myös kuinka yrittäjät ja liiketoimintaomistajat voivat käytännössä hyödyntää liiketoimintamallikonseptia nopeasti tehtävään liiketoimintamuutokseen. Tutkimustulokset osoittavat, että sisäisillä ja ulkoisilla tekijöillä on vaikutusta liiketoimintamallimuutokseen. Nämä tekijät ovat yrityskohtaisia, ja nuoren kasvuyrityksen ja kypsien yritysten väliltä löytyy eroja. Sen vuoksi onnistunut liiketoimintamallimuutos voidaan tehdä näitä tekijöitä analysoimalla ja kehittämällä
Books on the topic "Dynamic change models"
Jeffers, J. N. R. Practitioners handbook on the modelling of dynamic change in ecosystems. Chichester: Published on behalf of the Scientific Committee on Problems of the Environment (SCOPE) of the International Council of Scientific Unions (ICSU) by Wiley, 1988.
Find full textGemmell, Norman. Dynamic sectoral linkages and structural change in a developing economy. Nottingham: University of Nottingham, Centre for Research in Economic Development and International Trade, 1998.
Find full textGeert, Paul van. Dynamic systems of development: Change between complexity and chaos. New York: Harvester Wheatsheaf, 1994.
Find full textJeffers, J. N. R. Practitioner's handbook on the modelling of dynamic change in ecosystems. Chichester [West Sussex]: Published on behalf of the Scientific Committee on Problems of the Environment of the International Council of Scientific Unions by Wiley, 1988.
Find full textAulin-Ahmavaara, Pirkko. A dynamic input-output model with non-homogeneous labour for evaluation of technical change. Helsinki: Suomalainen Tiedeakatemia, 1987.
Find full textBecker, Torbjörn. Common trends and structural change: A dynamic macro model for the pre- and postrevolution Islamic Republic of Iran. [Washington, D.C.]: International Monetary Fund, Research Department, 1999.
Find full textCanada. Minerals and Metals Sector. Economic impact of carbon abatement policies and market structure: A dynamic general equilibrium analysis with imperfect competition. Ottawa: Industry Canada, 2001.
Find full textUlrike, Jessner, ed. A dynamic model of multilingualism: Perspectives of change in psycholinguistics. Clevedon, England: Multilingual Matters, 2002.
Find full textBaily, Martin Neil. Labor productivity: Structural change and cyclical dynamics. Cambridge, MA: National Bureau of Economic Research, 1996.
Find full textHlinka, Anton. Každý sa môže zmeniť: Dynamické modely spravania. Bratislava: Don Bosco, 1994.
Find full textBook chapters on the topic "Dynamic change models"
Gómez M., Guillermo L. "Change and time in development and growth processes." In Dynamic Probabilistic Models and Social Structure, 117–69. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2524-6_3.
Full textBahn, Olivier, Alain Haurie, and Roland Malhamé. "Limit Game Models for Climate Change Negotiations." In Advances in Dynamic and Mean Field Games, 27–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70619-1_2.
Full textPerz, Stephen, Joseph P. Messina, Eustaquio Reis, Robert Walker, and Stephen J. Walsh. "Scenarios of future Amazonian landscapes: Econometric and dynamic simulation models." In Amazonia and Global Change, 83–100. Washington, D. C.: American Geophysical Union, 2009. http://dx.doi.org/10.1029/2008gm000736.
Full textBose, Prasanta, and Mark G. Matthews. "An Agent Mediated Approach to Dynamic Change in Coordination Policies." In Coordination Languages and Models, 164–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45263-x_11.
Full textHorincar, Roxana, Bernd Amann, and Thierry Artières. "Online Change Estimation Models for Dynamic Web Resources." In Lecture Notes in Computer Science, 395–410. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31753-8_33.
Full textRangelova, E., W. van der Wal, M. G. Sideris, and P. Wu. "Numerical models of the rates of change of the geoid and orthometric heights over Canada." In Dynamic Planet, 563–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49350-1_82.
Full textDutta, Prajit K. "Dynamic Games with an Application to Climate Change Models." In Complex Social and Behavioral Systems, 61–82. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0368-0_137.
Full textDutta, Prajit K. "Dynamic Games with an Application to Climate Change Models." In Encyclopedia of Complexity and Systems Science, 1–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-27737-5_137-2.
Full textWu, Jianguo, G. Darrel Jenerette, and John L. David. "Linking Land-use Change with Ecosystem Processes: A Hierarchical Patch Dynamic Model." In Integrated Land Use and Environmental Models, 99–119. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05109-2_5.
Full textAndrey, Christopher, Olivier Bahn, and Alain Haurie. "Computing α-Robust Equilibria in Two Integrated Assessment Models for Climate Change." In Advances in Dynamic and Evolutionary Games, 283–300. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28014-1_14.
Full textConference papers on the topic "Dynamic change models"
Aitio, Antti, and David Howey. "Combining Non-Parametric and Parametric Models for Stable and Computationally Efficient Battery Health Estimation." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3180.
Full textWang, Yu, Aniket Chakrabarti, David Sivakoff, and Srinivasan Parthasarathy. "Fast Change Point Detection on Dynamic Social Networks." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/417.
Full textvan der Aalst, W. M. P. "Generic workflow models: how to handle dynamic change and capture management information?" In Proceedings Fourth IFCIS International Conference on Cooperative Information Systems. CoopIS 99 (Cat. No.PR00384). IEEE, 1999. http://dx.doi.org/10.1109/coopis.1999.792163.
Full textEger, Steffen, and Alexander Mehler. "On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models." In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/p16-2009.
Full textLuo, Ping, Xue Cao, Hongga Li, and Manchun Li. "Dynamic simulation of land use change in shenzhen city based on Markov-logistic-CA models." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567756.
Full textYi, Wei, Zhiqiang Gao, and Maosi Chen. "Dynamic modelling of future land-use change: a comparison between CLUE-S and Dinamica EGO models." In SPIE Optical Engineering + Applications, edited by Wei Gao, Thomas J. Jackson, Jinnian Wang, and Ni-Bin Chang. SPIE, 2012. http://dx.doi.org/10.1117/12.927781.
Full textYepifanov, Sergiy V., Roman L. Zelenskyi, and Igor Loboda. "Modeling the GTE Under Its Dynamic Heating Conditions." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26258.
Full textCantero, Katty M., and Marco E. Sanjuan. "Dynamic Model Fuzzy Transition in DMC Type Controllers for Varying Dynamics in Bioreactors." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67471.
Full textKim, Eunkyeong, Takuya Yoshida, and Tatsurou Yashiki. "Dynamic Heat-Exchanger Model for Any Combination of Water and Steam States." In 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-54203.
Full textSkartveit, Hanne-Lovise, Katherine J. Goodnow, and Magnhild Viste. "Visualized System Dynamics models as Information and Planning Tools." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2693.
Full textReports on the topic "Dynamic change models"
Li, Jing. Various New Statistical Models for Modeling and Change Detection in Multidimensional Dynamic Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada606729.
Full textGuldi, Jo. Parliament's Debates about Infrastructure: An Exercise in Using Dynamic Topic Models to Synthesize Historical Change (annotated version). Roy Rosenzweig Center for History and New Media, 2021. http://dx.doi.org/10.31835/ma.2021.08.
Full textVerburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003625.
Full textNiyogi, Partha, and Robert C. Berwick. A Dynamical Systems Model for Language Change. Fort Belvoir, VA: Defense Technical Information Center, March 1995. http://dx.doi.org/10.21236/ada307027.
Full textYu, Haichao, Haoxiang Li, Honghui Shi, Thomas S. Huang, and Gang Hua. Any-Precision Deep Neural Networks. Web of Open Science, December 2020. http://dx.doi.org/10.37686/ejai.v1i1.82.
Full textAgarwal, Chetan, Glen M. Green, J. Morgan Grove, Tom P. Evans, and Charles M. Schweik. A review and assessment of land-use change models: dynamics of space, time, and human choice. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2002. http://dx.doi.org/10.2737/ne-gtr-297.
Full textRobertson, A. W., M. Ghil, K. Kravtsov, and P. J. Smyth. Final Technical Report for "Collaborative Research: Regional climate-change projections through next-generation empirical and dynamical models". Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1010911.
Full textKravtsov, S., Andrew W. Robertson, Michael Ghil, and Padhraic J. Smyth. Final Technical Report for "Collaborative Research. Regional climate-change projections through next-generation empirical and dynamical models". Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1010914.
Full textZiegler, Nancy, Nicholas Webb, Adrian Chappell, and Sandra LeGrand. Scale invariance of albedo-based wind friction velocity. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40499.
Full textSmyth, Padhraic. Final Technical Report for Collaborative Research: Regional climate-change projections through next-generation empirical and dynamical models, DE-FG02-07ER64429. Office of Scientific and Technical Information (OSTI), July 2013. http://dx.doi.org/10.2172/1088032.
Full text